Optimal Quantization Scheme for Data-Efficient Target Tracking via UWSNs Using Quantized Measurements.
Optimal Quantization Scheme for Data-Efficient Target Tracking via UWSNs Using Quantized Measurements.
复制标题
使用量化测量通过 UWSN 实现数据高效目标跟踪的最佳量化方案
DOI：
10.3390/s17112565
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发表时间：
2017-11-07
期刊：
影响因子：
--
通讯作者：
Zhang Q
中科院分区：
文献类型：
--
作者：
Zhang S;Chen H;Liu M;Zhang Q
目标跟踪是水下无线传感器网络（UWSNs）的广泛应用之一。然而，由于水声信道的时空变异性，水声通信的带宽极其有限。为了减少网络拥塞，利用量化方法缩短局部传感器到融合中心传输的数据长度是很重要的。量化虽然可以降低带宽成本，但由于量化后的信息丢失，导致跟踪性能变差。为了解决这一问题，本文提出了一种基于最优量化的目标跟踪方案。它通过最小化量化引起的额外协方差来提高低比特量化测量的跟踪性能。仿真结果表明，该方案比传统的均匀量化目标跟踪方案性能好得多，且数据长度的增加对方案的影响很小。从2位到3位，其跟踪性能仅提高4.4%，这意味着我们的方案对数据位数的依赖性较弱。此外，我们的方案对参与传感器数量的依赖也很弱，在稀疏传感器网络中也能很好地工作。在6×6×6传感器网络中，与4×4×4传感器网络相比，参与传感器数量增加了334.92%，而使用1位量化测量的跟踪精度仅提高了50.77%。总的来说，我们的基于量化的最优目标跟踪方案可以实现对数据效率的追求，符合低带宽UWSNs的要求。
Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). However, as a result of the temporal and spatial variability of acoustic channels, underwater acoustic communications suffer from an extremely limited bandwidth. In order to reduce network congestion, it is important to shorten the length of the data transmitted from local sensors to the fusion center by quantization. Although quantization can reduce bandwidth cost, it also brings about bad tracking performance as a result of information loss after quantization. To solve this problem, this paper proposes an optimal quantization-based target tracking scheme. It improves the tracking performance of low-bit quantized measurements by minimizing the additional covariance caused by quantization. The simulation demonstrates that our scheme performs much better than the conventional uniform quantization-based target tracking scheme and the increment of the data length affects our scheme only a little. Its tracking performance improves by only 4.4% from 2- to 3-bit, which means our scheme weakly depends on the number of data bits. Moreover, our scheme also weakly depends on the number of participate sensors, and it can work well in sparse sensor networks. In a 6×6×6 sensor network, compared with 4×4×4 sensor networks, the number of participant sensors increases by 334.92%, while the tracking accuracy using 1-bit quantized measurements improves by only 50.77%. Overall, our optimal quantization-based target tracking scheme can achieve the pursuit of data-efficiency, which fits the requirements of low-bandwidth UWSNs.
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DOI：
10.3390/s130607250
发表时间：
2013-06-03
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Calafate CT;Lino C;Diaz-Ramirez A;Cano JC;Manzoni P
通讯作者：
Manzoni P
影响因子：
3.9
作者：
Sandeep, D. N.;Kumar, Vinay
通讯作者：
Kumar, Vinay
使用量化测量的基于 UWSN 的节点拓扑对目标跟踪的影响
影响因子：
11.8
作者：
Zhang, Qiang;Liu, Meiqin;Zhang, Senlin
通讯作者：
Zhang, Senlin
影响因子：
5.4
作者：
Cao, Nianxia;Choi, Sora;Varshney, Pramod K.
通讯作者：
Varshney, Pramod K.
影响因子：
7.9
作者：
Liu, Jun;Wang, Zhaohui;Yang, Bo
通讯作者：
Yang, Bo